Characterisation of carbonate minerals from hyperspectral TIR scanning using features at 14 000 and 11 300 nm

Green, D.; Schodlok, Martin C.

doi:10.1080/08120099.2016.1225601

Cited by 20 publications

(19 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By comparing the depths of the two features of the emissivity spectra related to the locations of Pixels #1 and #2 (Table 2), we identify calcite as the more abundant mineral on those locations. The depths of the emissivity spectral features observed on the locations of Pixels #4, #5 and #6 are larger than that of pure dolomite observed on Pixel #3, most likely due to the fact that the former are composed of mixed rocks or solid solution series [44].…”

Section: Discussionmentioning

confidence: 74%

“…However, for the spectral library matching approach used in this work, we included other carbonate minerals (malachite, azurite, smithsonite, siderite, rhodochrosite and magnesite), as they present strong emissivity spectral features in the same spectral regions as observed in the experiments: 850-925 cm −1 (11.765-10.811 µm) and 950-1150 cm −1 (10.526-8.696 µm) (see Figure 4a,b). Longwave infrared spectral signatures of carbonates can also be found in [44]. The ECOSTRESS spectral library database [38] (previously known as the ASTER library) was used for the identification.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Thermal Infrared Hyperspectral Imaging for Mineralogy Mapping of a Mine Face

Boubanga-Tombet¹,

Huot²,

Vitins

et al. 2018

Remote Sensing

View full text Add to dashboard Cite

Remote sensing systems are largely used in geology for regional mapping of mineralogy and lithology mainly from airborne or spaceborne platforms. Earth observers such as Landsat, ASTER or SPOT are equipped with multispectral sensors, but suffer from relatively poor spectral resolution. By comparison, the existing airborne and spaceborne hyperspectral systems are capable of acquiring imagery from relatively narrow spectral bands, beneficial for detailed analysis of geological remote sensing data. However, for vertical exposures, those platforms are inadequate options since their poor spatial resolutions (metres to tens of metres) and NADIR viewing perspective are unsuitable for detailed field studies. Here, we have demonstrated that field-based approaches that incorporate thermal infrared hyperspectral technology with about a 40-nm bandwidth spectral resolution and tens of centimetres of spatial resolution allow for efficient mapping of the mineralogy and lithology of vertical cliff sections. We used the Telops lightweight and compact passive thermal infrared hyperspectral research instrument for field measurements in the Jura Cement carbonate quarry, Switzerland. The obtained hyperspectral data were analysed using temperature emissivity separation algorithms to isolate the different contributions of self-emission and reflection associated with different carbonate minerals. The mineralogical maps derived from measurements were found to be consistent with the expected carbonate results of the quarry mineralogy. Our proposed approach highlights the benefits of this type of field-based lightweight hyperspectral instruments for routine field applications such as in mining, engineering, forestry or archaeology.

show abstract

Section: Discussionmentioning

confidence: 74%

Section: Discussionmentioning

confidence: 99%

Thermal Infrared Hyperspectral Imaging for Mineralogy Mapping of a Mine Face

Boubanga-Tombet¹,

Huot²,

Vitins

et al. 2018

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Shifts of these wavelength absorption features are associated with varying Fe/Mg ratios in chlorite and Al content in white mica [18,[33][34][35][36]. Specific types of carbonates may be recognized by absorption features at both ~11,300 and ~14,000 nm [37].…”

Section: Mineralizationmentioning

confidence: 99%

Lithogeochemical and Hyperspectral Halos to Ag-Zn-Au Mineralization at Nimbus in the Eastern Goldfields Superterrane, Western Australia

Hollis

Foury²,

Caruso

et al. 2021

Minerals

View full text Add to dashboard Cite

With new advances in rapid-acquisition geochemical and hyperspectral techniques, exploration companies are now able to detect subtle halos surrounding orebodies at minimal expense. The Nimbus Ag-Zn-(Au) deposit is unique in the Archean Yilgarn Craton of Western Australia. Due to its mineralogy, alteration assemblages, geochemical affinity, and tectonic setting, it is interpreted to represent a shallow water (~650 mbsl) and low-temperature (<250 °C) volcanogenic massive sulfide (VMS) deposit with epithermal characteristics (i.e., a hybrid bimodal felsic deposit). We present a detailed paragenetic account of the Nimbus deposit, and establish lithogeochemical and hyperspectral halos to mineralization to aid exploration. Mineralization at Nimbus is characterized by early units of barren massive pyrite that replace glassy dacitic lavas, and underlying zones of polymetallic sulfides that replace autoclastic monomict dacite breccias. The latter are dominated by pyrite-sphalerite-galena, a diverse suite of Ag-Sb ± Pb ± As ± (Cu)-bearing sulfosalts, minor pyrrhotite, arsenopyrite, and rare chalcopyrite. The main sulfosalt suite is characterized by pyrargyrite, and Ag-rich varieties of boulangerite, tetrahedrite, and bournonite. Zones of sulfide mineralization in quartz-sericite(±carbonate)-altered dacite are marked by significant mass gains in Fe, S, Zn, Pb, Sb, Ag, As, Cd, Ni, Cu, Ba, Co, Cr, Tl, Bi, and Au. Basaltic rocks show reduced mass gains in most elements, with zones of intense quartz-chlorite-carbonate±fuchsite alteration restricted to thick sequences of hyaloclastite, and near contacts with dacitic rocks. Broad zones of intense silica-sericite alteration surround mineralization in dacite, and are marked by high Alteration Index and Chlorite-Carbonate-Pyrite Index (CCPI) values, strong Na-Ca depletion, and an absence of feldspar (albite) in thermal infrared (TIR) data. White mica compositions are predominantly muscovitic in weakly altered sections of the dacitic footwall sequence. More paragonitic compositions are associated with zones of increased sericitization and high-grade polymetallic sulfide mineralization. Chlorite in dacitic rocks often occurs adjacent to zones of sulfide mineralization and is restricted to narrow intervals. Carbonate abundance is sporadic in dacite, but is most abundant outside the main zones of Na-Ca depletion. Basaltic rocks are characterized by strongly paragonitic white mica compositions, and abundant chlorite and carbonate. Shifts from Ca carbonates and Fe-rich chlorites to more Mg-rich compositions of both minerals occur in more intensely hydrothermally altered basaltic hyaloclastite, and near contacts with dacitic rocks. Hanging-wall polymict conglomerates are characterized by minor amounts of muscovitic to phengitic white mica (2205–2220 nm), and an absence of chlorite and carbonate alteration.

show abstract

“…3 In earth science, geologic remote scientists have also utilized the advantages of hyperspectral imaging in different geological applications, such as mineral industry, water quality determination, oil, and gas industries. They conducted hyperspectral imaging at various scales from close range imaging including rock samples, 4 cores, 5 and outcrop scanning 6 to airborne and spaceborne acquisition. 7,8 There are several review papers on the topic of geologic hyperspectral remote sensing, including applications of hyperspectral remote sensing in geology, 9 multi-and hyperspectral geologic remote sensing, 7 mineral mapping using hyperspectral data, 10 spectral processing methods for geological remote sensing, 11 hyperspectral remote sensing and geological applications, 12 and hyperspectral remote sensing for mineral exploration.…”

Section: Introductionmentioning

confidence: 99%

Hyperspectral remote sensing in lithological mapping, mineral exploration, and environmental geology: an updated review

Peyghambari

Zhang

2021

J. Appl. Rem. Sens.

127

View full text Add to dashboard Cite

Hyperspectral imaging has been used in a variety of geological applications since its advent in the 1970s. In the last few decades, different techniques have been developed by geologists to analyze hyperspectral data in order to quantitatively extract geological information from the high-spectral-resolution remote sensing images. We attempt to review and update various steps of the techniques used in geological information extraction, such as lithological and mineralogical mapping, ore exploration, and environmental geology. The steps include atmospheric correction, dimensionality processing, endmember extraction, and image classification. It is identified that per-pixel and subpixel image classifiers can generate accurate alteration mineral maps. Producing geological maps of different surface materials including minerals and rocks is one of the most important geological applications. The hyperspectral images classification methods demonstrate the potential for being used as a main tool in the mining industry and environmental geology. To exemplify the potential, we also include a few case studies of different geological applications.

show abstract

Characterisation of carbonate minerals from hyperspectral TIR scanning using features at 14 000 and 11 300 nm

Cited by 20 publications

References 9 publications

Thermal Infrared Hyperspectral Imaging for Mineralogy Mapping of a Mine Face

Thermal Infrared Hyperspectral Imaging for Mineralogy Mapping of a Mine Face

Lithogeochemical and Hyperspectral Halos to Ag-Zn-Au Mineralization at Nimbus in the Eastern Goldfields Superterrane, Western Australia

Hyperspectral remote sensing in lithological mapping, mineral exploration, and environmental geology: an updated review

Contact Info

Product

Resources

About